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|Title:||A fuzzy decision making model|
Archer, Norman P.
McMaster University, Michael G. DeGroote School of Business
|Keywords:||Fuzzy sets;Games and decisions;Neural networks;Business;Business|
|Series/Report no.:||Research and working paper series (Michael G. DeGroote School of Business)|
|Abstract:||<p>A fuzzy decision making model is proposed to support decision making under uncertainty. This model incorporates three theories and methodologies: classical decision making theory under conflict, as suggested by Luce and Raiffa (1957), the fuzzy set theory of Zadeh (1965, 1984), and a modified version of the back propagation neural network algorithm originated by Rumelhart et al. (1986). An algorithm which implements the model is also described.</p>|
|Description:||<p>24 leaves : ; Includes bibliographical references (leaves 21-23). ; "September, 1994".</p>|
|Appears in Collections:||DeGroote School of Business Working Paper Series|
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